Gautam Parab
- Senior Member, IEEE
- Fellow, Institution of Electronics and Telecommunication Engineers (IETE)
- Fellow, IAEME Publication
- Full Member, Sigma Xi
- Member, Forbes Technology Council
- Member (Fellowship level), Hackathon Raptors
- Member, AI2030
- British Computer Society (BCS)
Data and AI analytics architect with over 16 years in business intelligence and analytics, working at the intersection of enterprise data platforms and applied artificial intelligence. My work spans self-service analytics modernization, AI-driven decision systems, and the customer-facing architecture that gets those systems adopted at scale.
I am currently a Customer Success Manager and Agentic Context Architect at WisdomAI, where I own enterprise customer outcomes and architect the governed business context that grounds conversational BI, AI-powered dashboards, and analytics agents in each customer’s data. Before that I designed Google BigQuery-based AI and analytics architecture for CVS Health, and spent seven years at ThoughtSpot — joining as a founding member of the Customer Success team and leaving as Manager of Customer Success for North America East, having led initiatives across 100+ customers representing $40M+ in annual contract value. In between I co-founded SQOR.ai — an autonomous decision-intelligence platform that answers business performance questions with evidence-backed, ledger-reconciled answers — serving as Senior Director of Product Delivery & Client Enablement.
Alongside industry practice I publish peer-reviewed research on applied AI in analytics, serve as a reviewer and editorial board member for international journals and conferences, and served as an industry judge for the 2025 Globee Awards for Cybersecurity.
Selected credentials
| Research | 5 peer-reviewed journal articles, incl. European Journal of Operational Research, plus an M.S. thesis — see all |
| Awards | 4× Platinum Winner, 2025 — TITAN Business, TITAN Innovation, and NOBLE Business Awards (×2) — see all |
| Peer review | Reviewer for 5 international conferences and 4 journal submissions; editorial board member for 3 IAEME journals — see all |
| Education | M.S. Industrial & Systems Engineering, SUNY Buffalo · B.Eng. Mechanical Engineering, Goa University |
Research interests
My published research examines how autonomous and AI-driven analytics change decision-making inside operational systems:
- Agentic AI in analytics — autonomous agents that plan, query, and act on enterprise data rather than simply reporting on it.
- Domain applications of AI analytics — healthcare operations, retail personalization, and predictive maintenance in manufacturing.
- Simulation and queueing design for security screening — my earlier operations research work on airport selectee lanes, which demonstrated a greater-than-4% improvement in correctly identifying high-risk passengers over then-current practice.
Selected industry work
- Enterprise analytics modernization and real-time insights — architecture and delivery of self-service analytics on modern cloud data platforms; recognized with the 2025 TITAN Business Award (Analytics) and the 2025 NOBLE Business Award for Outstanding Achievement in Data and Analytics.
- AI-driven analytics on Google BigQuery — AI project architecture at CVS Health, covering BigQuery-native AI/ML workloads, semantic access layers over governed enterprise data, and analytics pipelines designed for natural-language and agent-driven consumption.
- First ChatGPT integration at ThoughtSpot — built the company’s first ChatGPT integration and consulted on ChatIQ, an AI support agent embedded in Intercom.
- Dispatch optimization via geoanalytics and route planning — recognized with the 2025 NOBLE Business Award for Outstanding IT Innovation.
Get in touch
Email parabautam@gmail.com, or find me on LinkedIn. A full CV is available on this site and as a PDF.